{"id":"https://openalex.org/W3046223249","doi":"https://doi.org/10.1109/isbiworkshops50223.2020.9153431","title":"Dynamic Topological Data Analysis for Functional Brain Signals","display_name":"Dynamic Topological Data Analysis for Functional Brain Signals","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3046223249","doi":"https://doi.org/10.1109/isbiworkshops50223.2020.9153431","mag":"3046223249"},"language":"en","primary_location":{"id":"doi:10.1109/isbiworkshops50223.2020.9153431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbiworkshops50223.2020.9153431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076376614","display_name":"Tananun Songdechakraiwut","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tananun Songdechakraiwut","raw_affiliation_strings":["University of Wisconsin-Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029674397","display_name":"Moo K. Chung","orcid":"https://orcid.org/0000-0003-2852-9670"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moo K. Chung","raw_affiliation_strings":["University of Wisconsin-Madison, USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5076376614"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":2.3922,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91215403,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.9073702096939087},{"id":"https://openalex.org/keywords/persistent-homology","display_name":"Persistent homology","score":0.8625246286392212},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6114417910575867},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6098048686981201},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.6055015325546265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6011365652084351},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.6002755165100098},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48581910133361816},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.485029399394989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45505955815315247},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"Functional connectivity","score":0.45040684938430786},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44442278146743774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39341962337493896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30306243896484375},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.2498222291469574},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2475091516971588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15670925378799438},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14897722005844116},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0937526524066925}],"concepts":[{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.9073702096939087},{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.8625246286392212},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6114417910575867},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6098048686981201},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.6055015325546265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6011365652084351},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.6002755165100098},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48581910133361816},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.485029399394989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45505955815315247},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.45040684938430786},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44442278146743774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39341962337493896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30306243896484375},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.2498222291469574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2475091516971588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15670925378799438},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14897722005844116},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0937526524066925},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbiworkshops50223.2020.9153431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbiworkshops50223.2020.9153431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.kaust.edu.sa:10754/665250","is_oa":false,"landing_page_url":"http://hdl.handle.net/10754/665250","pdf_url":null,"source":{"id":"https://openalex.org/S4306401596","display_name":"King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71920554","host_organization_name":"King Abdullah University of Science and Technology","host_organization_lineage":["https://openalex.org/I71920554"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1803377658","https://openalex.org/W1975994995","https://openalex.org/W2020519533","https://openalex.org/W2038532793","https://openalex.org/W2058046532","https://openalex.org/W2071391326","https://openalex.org/W2087841994","https://openalex.org/W2096736341","https://openalex.org/W2141394518","https://openalex.org/W2141663826","https://openalex.org/W2498184556","https://openalex.org/W2597495304","https://openalex.org/W2891725784","https://openalex.org/W2956649458","https://openalex.org/W3025560754","https://openalex.org/W4211091012","https://openalex.org/W4230644069","https://openalex.org/W6668574857","https://openalex.org/W6723990290"],"related_works":["https://openalex.org/W2886923060","https://openalex.org/W2887690685","https://openalex.org/W4287394697","https://openalex.org/W3119689987","https://openalex.org/W3120766012","https://openalex.org/W3137224016","https://openalex.org/W3128725485","https://openalex.org/W2168298321","https://openalex.org/W2371524820","https://openalex.org/W3195257268"],"abstract_inverted_index":{"We":[0,63],"propose":[1],"a":[2,15,31],"novel":[3],"dynamic":[4],"topological":[5,45,71],"data":[6],"analysis":[7],"(TDA)":[8],"framework":[9],"that":[10,65,73],"builds":[11],"persistent":[12],"homology":[13],"over":[14],"time":[16,28,79],"series":[17,29],"of":[18,34,59],"3D":[19],"functional":[20,54],"brain":[21],"images.":[22],"The":[23,47],"proposed":[24],"method":[25,48],"encodes":[26],"the":[27,52,60,66,70,82],"as":[30],"time-ordered":[32],"sequence":[33],"Vietoris-Rips":[35],"complexes":[36],"and":[37],"their":[38],"corresponding":[39],"barcodes":[40],"in":[41,81],"studying":[42],"dynamically":[43],"changing":[44],"patterns.":[46],"is":[49],"applied":[50],"to":[51],"resting-state":[53,83],"magnetic":[55],"resonance":[56],"imaging":[57],"(fMRI)":[58],"human":[61],"brain.":[62],"demonstrate":[64],"dynamic-TDA":[67],"can":[68],"capture":[69],"patterns":[72],"are":[74],"consistently":[75],"observed":[76],"across":[77],"different":[78],"points":[80],"fMRI.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
